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Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Publicado por O'Reilly Media 11/5/2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
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Añadir al carritoPaperback or Softback. Condición: New. Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow. Book.
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 62,71
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Añadir al carritoPaperback. Condición: New. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 78,85
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Añadir al carritoPaperback. Condición: new. Paperback. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's ""Not Hotdog,"" image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology" This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 79,74
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Añadir al carritoPaperback. Condición: New. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,61
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Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 69,92
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 620.
EUR 56,67
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Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: Revaluation Books, Exeter, Reino Unido
EUR 90,99
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Añadir al carritoPaperback. Condición: Brand New. 588 pages. 9.00x7.00x1.25 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 98,27
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 64,89
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Añadir al carritoPaperback. Condición: New. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology.
Idioma: Inglés
Publicado por O'reilly Media Nov 2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 89,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. 350 pp. Englisch.
Idioma: Inglés
Publicado por O'reilly Media Nov 2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 89,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. 350 pp. Englisch.
Idioma: Inglés
Publicado por O'reilly Media Nov 2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Librería: Wegmann1855, Zwiesel, Alemania
EUR 89,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.
Librería: moluna, Greven, Alemania
EUR 76,06
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Añadir al carritoCondición: New. This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.Über den AutorrnrnAnirudh Koul is the Head of AI & Research at Aira, and was previously at .
Librería: Buchpark, Trebbin, Alemania
EUR 34,16
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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 350 | Sprache: Englisch | Produktart: Bücher | Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use.Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow LiteDevelop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google CoralExplore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studiesSimulate an autonomous car in a video game environment and build a miniature version with reinforcement learningUse transfer learning to train models in minutesDiscover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users.